Question 1

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

Accepted Answer

A) True 
 B)False  True

Question 2

The most commonly used technique for fitting a straight line to a scattergram is the ________.

Accepted Answer

A)  most-squares procedure 
B)  analysis of variance 
C)  least-squares procedure 
D)  correlation equation 
E)  sum of squared errors 
A)  most-squares procedure 
B)  analysis of variance 
C)  least-squares procedure 
D)  correlation equation 
E)  sum of squared errors C

Question 3

The term used to denote the standardized regression coefficient is called the alpha coefficient.

Accepted Answer

A) True 
 B)False  False

Question 4

The product moment correlation is also referred to as regression correlation.

Accepted Answer

A) True 
 B)False

Question 5

An equation used to explain the results of multiple regression analysis is called the ________.

Accepted Answer

A)  product moment correlation model 
B)  multiple regression model 
C)  standard regression model 
D)  covariance model 
E)  unitary model 
A)  product moment correlation model 
B)  multiple regression model 
C)  standard regression model 
D)  covariance model 
E)  unitary model

Question 6

In a short essay,define standardization and include a discussion of beta coefficient and standardized regression coefficient to support your answer.

Accepted Answer

Standardization is the process by which

Question 7

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients
(βᵢs)are nonzero.

Accepted Answer

A) True 
 B)False

Question 8

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

Accepted Answer

A) True 
 B)False

Question 9

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

Accepted Answer

A) True 
 B)False

Question 10

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

Accepted Answer

A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  bivariate correlation 
E)  F-statistic 
A)  covariance correlation 
B)  inverse correlation 
C)  product moment correlation 
D)  bivariate correlation 
E)  F-statistic

Question 11

It is not possible to conduct correlation and regression analysis if the data collected in social media are qualitative in nature.

Accepted Answer

A) True 
 B)False

Question 12

A(n)________ is a plot of the values of two variables for all the cases or observations.

Accepted Answer

A)  scatter diagram 
B)  regression line 
C)  covariance chart 
D)  distribution curve 
E)  observational plot 
A)  scatter diagram 
B)  regression line 
C)  covariance chart 
D)  distribution curve 
E)  observational plot

Question 13

The difference between the observed value of Y and the value predicted by the regression equation is called the ________.

Accepted Answer

A)  correlation coefficient 
B)  residual 
C)  standard error 
D)  random error 
E)  total error 
A)  correlation coefficient 
B)  residual 
C)  standard error 
D)  random error 
E)  total error

Question 14

________ is concerned with the nature and degree of association between variables and does not imply or assume any causality.

Accepted Answer

A)  Regression analysis 
B)  Analysis of variance 
C)  Deviation analysis 
D)  F-test 
E)  Functional linear analysis 
A)  Regression analysis 
B)  Analysis of variance 
C)  Deviation analysis 
D)  F-test 
E)  Functional linear analysis

Question 15

The product moment correlation is also referred to as all of the following EXCEPT:

Accepted Answer

A)  simple correlation. 
B)  bivariate correlation. 
C)  correlation coefficient. 
D)  Pearson correlation. 
E)  F-statistic. 
A)  simple correlation. 
B)  bivariate correlation. 
C)  correlation coefficient. 
D)  Pearson correlation. 
E)  F-statistic.

Question 16

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called ________.

Accepted Answer

A)  causation 
B)  analysis of variance 
C)  covariance 
D)  deviation 
E)  standard deviation 
A)  causation 
B)  analysis of variance 
C)  covariance 
D)  deviation 
E)  standard deviation

Question 17

Regression analysis of an independent and dependent variable can be used in all of the following ways EXCEPT:

Accepted Answer

A)  determining whether a relationship exists. 
B)  assessing the strength of relationship. 
C)  determining the structure or form of the relationship. 
D)  predicting values of the dependent variable. 
E)  determining causality. 
A)  determining whether a relationship exists. 
B)  assessing the strength of relationship. 
C)  determining the structure or form of the relationship. 
D)  predicting values of the dependent variable. 
E)  determining causality.

Question 18

The first step involved in conducting bivariate analysis is the development of a scatter diagram.

Accepted Answer

A) True 
 B)False

Question 19

According to the text,the beta coefficient is also called the beta weight.

Accepted Answer

A) True 
 B)False

Question 20

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

Accepted Answer

A)  covariance correlation 
B)  product moment correlation 
C)  inverse correlation 
D)  bivariate correlation 
E)  F-statistic 
A)  covariance correlation 
B)  product moment correlation 
C)  inverse correlation 
D)  bivariate correlation 
E)  F-statistic

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

The most commonly used technique for fitting a straight line to a scattergram is the ________.

The term used to denote the standardized regression coefficient is called the alpha coefficient.

The product moment correlation is also referred to as regression correlation.

An equation used to explain the results of multiple regression analysis is called the ________.

In a short essay,define standardization and include a discussion of beta coefficient and standardized regression coefficient to support your answer.

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βᵢs)are nonzero.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

It is not possible to conduct correlation and regression analysis if the data collected in social media are qualitative in nature.

A(n)________ is a plot of the values of two variables for all the cases or observations.

The difference between the observed value of Y and the value predicted by the regression equation is called the ________.

________ is concerned with the nature and degree of association between variables and does not imply or assume any causality.

The product moment correlation is also referred to as all of the following EXCEPT:

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called ________.

Regression analysis of an independent and dependent variable can be used in all of the following ways EXCEPT:

The first step involved in conducting bivariate analysis is the development of a scatter diagram.

According to the text,the beta coefficient is also called the beta weight.

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution,hypothesis Testing,and Cross-Tabulation

Hypothesis Testing Related to Differences

Report Preparation and Presentation

Filters

Exam 18: Correlation and Regression

Significance testing involves testing the significance of the overall regression equation as well as specific partial regression coefficients.

The most commonly used technique for fitting a straight line to a scattergram is the ________.

The term used to denote the standardized regression coefficient is called the alpha coefficient.

The product moment correlation is also referred to as regression correlation.

An equation used to explain the results of multiple regression analysis is called the ________.

In a short essay,define standardization and include a discussion of beta coefficient and standardized regression coefficient to support your answer.

In multiple regression,if the overall null hypothesis is rejected,we know which specific coefficients (βᵢs)are nonzero.

The test statistic for evaluating the null hypothesis associated with the product moment correlation is the F-test.

A statistic summarizing the strength of association between two metric variables is called the product moment correlation.

Which of the following statistics indicates the degree to which the variation in one variable,X,is related to the variation in another variable,Y?

It is not possible to conduct correlation and regression analysis if the data collected in social media are qualitative in nature.

A(n)________ is a plot of the values of two variables for all the cases or observations.

The difference between the observed value of Y and the value predicted by the regression equation is called the ________.

________ is concerned with the nature and degree of association between variables and does not imply or assume any causality.

The product moment correlation is also referred to as all of the following EXCEPT:

A systematic relationship between two variables in which a change in one implies a corresponding change in the other is called ________.

Regression analysis of an independent and dependent variable can be used in all of the following ways EXCEPT:

The first step involved in conducting bivariate analysis is the development of a scatter diagram.

According to the text,the beta coefficient is also called the beta weight.

The ________ is the most widely used statistic that summarizes the strength and direction of association between two metric variables.

Introduction to Marketing Research

Defining the Marketing Research Problem and Developing an Approach

Research Design

Exploratory Research Design: Secondary Data

Exploratory Research Design: Syndicated Sources of Secondary Data

Exploratory Research Design: Qualitative Research

Descriptive Research Design: Survey and Observation

Causal Research Design: Experimentation

Measurement and Scaling: Fundamentals and Comparative Scaling

Measurement and Scaling: Noncomparative Scaling Techniques

Questionnaire and Form Design

Sampling: Design and Procedures

Sampling: Final and Initial Sample Size Determination

Fieldwork: Data Collection

Data Preparation and Analysis Strategy

Frequency Distribution,hypothesis Testing,and Cross-Tabulation

Hypothesis Testing Related to Differences

Report Preparation and Presentation

Filters